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# st: Propensity Score Matching, fixing date variable when matching using psmatch2

 From Mario Reinhold To statalist@hsphsun2.harvard.edu Subject st: Propensity Score Matching, fixing date variable when matching using psmatch2 Date Thu, 20 Oct 2011 10:50:24 +0200

For my diploma thesis I want to conduct Propensity Score matching. I try and extimate the wage reduction of persons that became unemployed and find a new job then after. In order to control for the macroeconomic circumstances in which a person finds a new job, I would like to 'fix' the year of the treated and untreated persons when matching, e.g. the age or the education does not have to be necessarily the same when matching, however the 'year' observed must be the same. One way would be to create subsamples, that is restricting the estimation to one certain year (or period) but that is not really what I want as I would have to conduct the same estimation 20 times and it would only tell me 20 times how the situation in year t=1 to t=20 which is not sensible if I want to estimate a generalised effect over the 20 years observed.
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The statistical model hence is:
ATT= E[y_it|D_i=1, P(x)] - E[y_it|D=0, P(x)]

with
t... date
i... individual
y... outcome
D... treatment

ATT= E[y_i|D_i=1, P(x)] - E[y_i|D=0, P(x)]

Is there a way to conduct this analysis using psmatch2?
So far, my command is:
psmatch2 unmplyd, outcome(wage) pscore(ps) ate cal(0.0001)

where ps is estimated beforehands using probit.

I am sorry but I could not find anything related here on statalist.
I would be more than happy if I could receive some help.

Regards and thanks to all of you in advance,

Mario Reinhold
______________
graduand at Technische Universität Dresden (Germany)

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